Associate Professor of Neurobiology @ USC NIH New Innovator | I build tools to watch brains think Neural Dynamics, Biological Intelligence & Human Performance

Los Angeles, CA
Always the best SfN party
It is time. Calling all the party people
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Current Palisades water supply status 22 months post fire: Santa Ynez Reservoir: nearly empty High pressure backup line: empty First serious fire risk day and nothing much has changed.
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Reservoir now is 30ft above empty. Definitely filling up.
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New paper: "AI Article Reviews Dominate Human Peer Reviews at Their Best: Evidence and Policy Choices" See: GaryKing.org/peerless. with Steven Worthington. Comments welcome!
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The nature of conscious perception
1/ We discovered something totally unexpected about the neural structure of consciousness that overturns decades of thinking on its biological basis and brings us significantly closer to the recipe for generating conscious awareness. New preprint: biorxiv.org/content/10.64898… (led by @HesseJanis, with @FrankLanfranchi, @_conor_mcgrory, @Yuelin_Shi, and @EngelTatiana)
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Ran up to the top Highlands water tank this morning. The backup line from valley that feeds the tank is depressurized but there is an LADWP team on site. Presumably they can activate quickly if needed. Santa Ynez has about 8M gallons in it based on fiducial marks on the cover.
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This is going to be hard to stop. Heavy dry fuel with no recent burn scars. Winds a moderate 15-20mph sustained but forecast to increase, lots of room to run before hitting breaks and water availability. Think this one is going to blow up pretty big.
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The red flag shutdown of Topanga Canyon road with resident ID checks is causing traffic chaos on PCH and Palisades right now, while the winds in town giving me flashbacks! Seek alternative routes.
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Andrew Hires retweeted
Very excited about this preprint! We use a K-mirror and a tunable lens to flexibly align the two-photon imaging plane with curved biological structures. Great work of PhD student @ShinjinNeuro101, with Fritjof Helmchen, @LucaGodenzini, and many others! biorxiv.org/content/10.64898…
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Are you planning a PhD in neuroscience? The Department of Neurobiology at USC has launched a new PhD program, and we’re recruiting our first cohort. Our labs seek answers to: How animals learn, remember, and choose what to do. How synapses transmit signals and stay stable over a lifetime. How neural circuits are built, how they fail in disease, and can they be repaired? How the brain turns sensation into action. We investigate these questions at scales from single synapses to whole-brain networks, using molecular, genetic, physiological, imaging, computational, and behavioral approaches across model systems. Explore our labs: dornsife.usc.edu/neurobiolog… What you’ll get: Full funding: tuition plus a $43,000 annual stipend and health insurance A small cohort with direct faculty mentorship, where you’ll help shape a program as it grows Lab rotations across three faculty labs before you choose your thesis lab Los Angeles: a major research hub with S-tier climate, cultural vibrancy and global influence Applications due December 1, 2026. GRE optional. Application fee waivers available based on demonstrated need. Apply here: dornsife.usc.edu/neurobiolog… Any questions? Reply or DM and I’m happy to answer.
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There has been an explosion of plots lately showing that Los Angeles is the city with the lowest quality of life in America and the world. I’m telling you now, the methodology is maliciously wrong.
America’s most livable cities, at local median salary and local tax rate. New York: this is probably the reason why Mamdani won
Community note
The chart's "most livable cities" rankings and quality-of-life data rely on Numbeo, a crowdsourced site where anyone can submit or alter entries; it carries explicit disclaimers on accuracy and has been widely criticized by experts and media as unreliable. numbeo.com/common/terms_o… en.wikipedia.org/wiki/Numbeo tf1info.fr/international/…
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Moated
Technical moats are mostly over at this point. If you’re building something that is meant to be durable, the only moats now are: • Proprietary data • Network effects • A physical component
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They are activating the big blue hose. Due to the shutdown of the Westgate trunk line from the leak by Mandeville Canyon.
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Crypto markets came under huge pressure last two days as the existential risk of AI potentially breaking ECDSA was digested. The same threat had zero impact on trad markets. I wonder… is it because they are less vulnerable, or if trad market participants just don’t get it yet.
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Took almost 4 years of sporadic play, but got a 3 game streak on Nethack. Better than the AI! Sadly it ends here as streaks are version dependent and the world has moved on to Nethack 5.0.
AGI is here. Astra wrote its own harness and ascended Nethack through a terminal interface in 3 tries. kenforthewin.github.io/blog/…
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In this house, we believe inherent hardness exists. 🙏
Replying to @LindellYehuda
The fact that AI can prove theorems that have been hard does not indicate in any way that problems assumed to be hard are not. Our assumptions on hard problems are not based merely on human fallibility but on a belief that inherent hardness exists. 2/n
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If AI destroys my job, 🫤 If AI also destroys my savings, 🤬
I don't recommend anyone scramble to move their funds to new wallets today. But we should take the risks to cryptography from AI-accelerated math seriously, and minimize our exposure to not just quantum-vulnerable cryptography, but also potentially AI-vulnerable cryptography. The core new area of risk from this viewpoint is, unfortunately, ML-DSA / FHE / lattices. (and it's also another reason, along with quantum, why ECDSA might fall even faster than expected, hence the "fresh address" recommendation) So far most people have been in the mode of thinking "elliptic curves broken, hashes safe, lattices safe". But there is a good chance that the concrete security of lattices will take serious hits from the next two years of AI math. The basic threat model is: factoring is something that naively takes 2^(n/2) time, but over decades smart people have found and optimized number field sieves, and degraded that to 2^O(n^(1/3)), which is why RSA keys and signatures need to be ~400 bytes (and not 64 bytes). What if there are skeletons in the closet like that, both for elliptic curves and lattices, that we are simply not smart enough to discover - but bots soon will be? This is a major part of the reason why for the past year ethereum's lean roadmap has been going in the "hash-only" direction: no lattices, no ML-DSA, no Falcon, no lattice-based commitments inside ZK proofs, etc. Signatures in lean ethereum are all hash-based, either WOTS or SPHINCS-. For signatures and proofs, we already know how to go hash-only. The bigger challenge is for *public-key encryption* - and this goes far beyond blockchains. Secure communication, anonymizing protocols, lots of things need public-key encryption. And unfortunately there are long-standing mathematical theorems showing why public-key encryption cannot be done with hashes alone. You have to have some kind of trapdoor object that has at least one form of usable "structure" - either group theory (incl. isogenies) or lattices or code-based or potentially in the future even more newfangled and spooky things (local mixing?). But for anything that has structure, you should assume that AI will make at least some progress in breaking that structure. Here, one reasonable inference is that if you want to make something plausibly long-term secure, multiply the key sizes by 10. To me that's a very plausible world and something not at all extreme to predict. If AI will bring us 50 years of math in 2 years, then that 50 years of math may very plausibly include a "naive factoring -> GNFS" level of improvement to our ability to break lattices. In that world, lattices will still exist, but they will have to be significantly bigger to guarantee the same level of safety. And at those new larger sizes, hash-based constructions will beat lattice-based constructions on concrete efficiency in every use case where hash-based constructions are possible at all. Theoretically, of course it's possible that hashes are broken too (eg. P = NP would imply that). But I think P = NP is very unlikely. And intuitively, it's much more likely that a mathematical object has exactly no exploitable structure (like hashes are intended to), than that a mathematical object has exactly ~3 forms of exploitable structure (for elliptic curves: associativity, Schoof, pairings) and not some secret fourth form of structure we have not yet discovered that greatly degrades its security (for elliptic curves, ECDLP and pairing security). Similar for LWE, SVP, RLWE and the zoo of lattice problems. For this reason, we do not yet see any reason to worry and start padding the byte size of hashes (if we start to worry more, we would pad the round count first before doing anything to the byte size). Concrete TLDR, my own personal views: * Hash-based > lattice-based, in those situations where hash-based is possible at all * For anything lattice-based, be much more paranoid on param sizes. Remember that blockchains are only a small portion of the cryptography story; this point goes far beyond blockchains and applies to eg. access to websites, secure messaging, Tor / VPNs ... * For privacy protocols, strongly favor NOT putting encrypted notes onchain. Instead, send them offchain through some third-party mechanism. * If it's not difficult for you, keeping your funds in addresses which have not yet been used to make a transaction is a good idea. If it's easy for you, do it. **But be careful about migrations; I personally have lost more money in botched migrations than I have lost in all hacks combined**. * For multisig wallets, doing confirmations offchain is better than onchain, because this way the signatures of signer wallets do not get exposed to the public, so if ECDSA falls to AI much faster than expected, at least the multisig "gracefully degrades" to a 1-of-1 where the 1 is whoever was gathering the signatures - a much better place to be than "anyone can take the money" firefly.social/post/x/210783…
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